Warehouses Estates (Belgium) Market Value
| WEB Stock | EUR 37.20 0.10 0.27% |
| Symbol | Warehouses |
Warehouses Estates 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Warehouses Estates' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Warehouses Estates.
| 06/08/2023 |
| 11/29/2024 |
If you would invest 0.00 in Warehouses Estates on June 8, 2023 and sell it all today you would earn a total of 0.00 from holding Warehouses Estates Belgium or generate 0.0% return on investment in Warehouses Estates over 540 days. Warehouses Estates is related to or competes with Aedifica, Cofinimmo, VGP NV, Sofina Socit, and Montea CVA. Warehouses Estates Belgium SCA is a real estate investment trust More
Warehouses Estates Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Warehouses Estates' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Warehouses Estates Belgium upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 3.98 | |||
| Value At Risk | (1.54) | |||
| Potential Upside | 1.04 |
Warehouses Estates Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Warehouses Estates' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Warehouses Estates' standard deviation. In reality, there are many statistical measures that can use Warehouses Estates historical prices to predict the future Warehouses Estates' volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.46) |
Warehouses Estates Backtested Returns
Warehouses Estates shows Sharpe Ratio of -0.0929, which attests that the company had a -0.0929% return per unit of risk over the last 3 months. Warehouses Estates exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Warehouses Estates' Standard Deviation of 0.8332, market risk adjusted performance of (0.45), and Mean Deviation of 0.6233 to validate the risk estimate we provide. The firm maintains a market beta of 0.15, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Warehouses Estates' returns are expected to increase less than the market. However, during the bear market, the loss of holding Warehouses Estates is expected to be smaller as well. At this point, Warehouses Estates has a negative expected return of -0.0771%. Please make sure to check out Warehouses Estates' potential upside, kurtosis, daily balance of power, as well as the relationship between the skewness and accumulation distribution , to decide if Warehouses Estates performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Warehouses Estates Belgium has insignificant reverse predictability. Overlapping area represents the amount of predictability between Warehouses Estates time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Warehouses Estates price movement. The serial correlation of -0.16 indicates that over 16.0% of current Warehouses Estates price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 1.7 |
Warehouses Estates lagged returns against current returns
Autocorrelation, which is Warehouses Estates stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Warehouses Estates' stock expected returns. We can calculate the autocorrelation of Warehouses Estates returns to help us make a trade decision. For example, suppose you find that Warehouses Estates has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Warehouses Estates regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Warehouses Estates stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Warehouses Estates stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Warehouses Estates stock over time.
Current vs Lagged Prices |
| Timeline |
Warehouses Estates Lagged Returns
When evaluating Warehouses Estates' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Warehouses Estates stock have on its future price. Warehouses Estates autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Warehouses Estates autocorrelation shows the relationship between Warehouses Estates stock current value and its past values and can show if there is a momentum factor associated with investing in Warehouses Estates Belgium.
Regressed Prices |
| Timeline |
Pair Trading with Warehouses Estates
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Warehouses Estates position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Warehouses Estates will appreciate offsetting losses from the drop in the long position's value.Moving together with Warehouses Stock
Moving against Warehouses Stock
The ability to find closely correlated positions to Warehouses Estates could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Warehouses Estates when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Warehouses Estates - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Warehouses Estates Belgium to buy it.
The correlation of Warehouses Estates is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Warehouses Estates moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Warehouses Estates moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Warehouses Estates can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Warehouses Stock Analysis
When running Warehouses Estates' price analysis, check to measure Warehouses Estates' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Warehouses Estates is operating at the current time. Most of Warehouses Estates' value examination focuses on studying past and present price action to predict the probability of Warehouses Estates' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Warehouses Estates' price. Additionally, you may evaluate how the addition of Warehouses Estates to your portfolios can decrease your overall portfolio volatility.